WO2021258695A1

WO2021258695A1 - Method and apparatus for air conditioning in sleep environment, and electronic device

Info

Publication number: WO2021258695A1
Application number: PCT/CN2020/139915
Authority: WO
Inventors: 宋德超; 陈翀; 王玉宾; 岳冬
Original assignee: 珠海格力电器股份有限公司; 珠海联云科技有限公司
Priority date: 2020-06-23
Filing date: 2020-12-28
Publication date: 2021-12-30
Also published as: CN111720963B; CN111720963A

Abstract

A method for air conditioning in a sleep environment, the method comprising: acquiring the current air state information of a target user in a sleep environment; inputting the current air state information into a target comfort level perception model to obtain the current comfort level value; determining whether the current comfort level value is within an ideal comfort level value range for the target user under the target comfort level perception model; if the current comfort level value is outside the ideal comfort level value range, according to comfort level values in the ideal comfort level value range and the target comfort level perception model, determining target air state information adapted to the target user; according to the target air state information, determining corresponding air parameter adjustment information requiring adjustment; and controlling a target air conditioning device to operate according to the air parameter adjustment information, so as to adjust the air state in the sleep environment. Also provided are an apparatus for air conditioning in a sleep environment, and an electronic device. According to the method and apparatus for air conditioning, and the electronic device, the air state in a sleep environment can be accurately and effectively conditioned.

Description

Air conditioning method, device and electronic equipment in sleep environment

This disclosure claims the priority of a Chinese patent application filed with the Chinese Patent Office on June 23, 2020, the application number is 202010579803.2, and the invention title is "A method, device and electronic equipment for air conditioning in a sleeping environment", and its entire contents Incorporated in this disclosure by reference.

Technical field

The present disclosure relates to the field of computer technology, and in particular to an air conditioning method, device and electronic equipment in a sleep environment.

Background technique

Sleep is the most important way for people to restore their physical strength and repair the body. The quality of sleep directly determines a person's working status and health. A large number of studies have shown that sleep is affected by many factors, including temperature, humidity, wind speed, light, noise, etc., among which temperature, humidity, and wind speed are the main air environments that affect people's sleep. With the development of science and technology, the technology of air conditioning equipment such as air conditioners, humidifiers and dehumidifiers has gradually matured and become popular, and people's sleeping environment and conditions have been greatly improved. However, the current air environment adjustment methods of these devices are mostly passive and artificial. Because people's body temperature and the external environment are constantly changing during sleep, the devices cannot perceive people's feelings of cold and heat and comfort status in real time. Relevant research pointed out Even if the "sleep mode" of the current air conditioners on the market starts, most people will be awakened by heat or freezing at night, and the simple timing mode can no longer meet people's sleep needs.

Therefore, how to accurately and effectively adjust the air condition in the sleeping environment so that the air condition in the sleeping environment can be adapted to the user as much as possible, so that the user can feel as comfortable as possible in the sleeping state is a problem that needs to be considered at present .

Summary of the invention

The embodiments of the present disclosure provide an air conditioning method, device, and electronic device in a sleeping environment, which are set to accurately and effectively adjust the air state in the sleeping environment, so that the air state in the sleeping environment can be as close to the user as possible. Adaptation, so that users can feel as comfortable as possible in sleep state.

In a first aspect, an air conditioning method in a sleep environment is provided, the method including:

Obtain the current air state information of the target user in the sleeping environment;

Input the current air state information into the target comfort perception model to obtain the current comfort value, where the target comfort perception model uses the historical operation data of the air conditioning equipment of the target user to adjust the public comfort perception model Obtained, the historical operation data indicates the comfort level of the target user for the air condition;

Determine whether the current comfort value is within the ideal comfort value interval of the target user under the target comfort perception model, wherein the target user feels comfortable with the air state corresponding to the ideal comfort value interval ；

If the current comfort value is outside the ideal comfort value interval, then according to the comfort value in the ideal comfort value interval and the target comfort perception model, determine the one that is suitable for the target user Target air status information;

According to the target air state information, determine the corresponding air parameter adjustment information that needs to be adjusted;

The control target air conditioning device operates according to the air parameter adjustment information to adjust the air state in the sleep environment.

In some embodiments, determining the target air state information suitable for the target user according to the comfort value in the ideal comfort value interval and the target comfort perception model includes:

Determine, according to the multiple comfort values included in the ideal comfort value interval and the target comfort perception model, multiple candidate air state information corresponding to the multiple comfort values;

According to the target user’s current human body temperature and human body thermal sensation model, multiple thermal sensation values corresponding to the multiple candidate air state information are determined, wherein the human thermal sensation model matches the user’s current human body temperature and is comfortable Human body temperature in the state is related to temperature sensitive factors;

The air state information corresponding to the optimal thermal sensation value among the plurality of thermal sensation values is determined as the target air state information, wherein the comfort level of the target user's temperature perception at the optimal thermal sensation value Highest.

In some embodiments, the method further includes:

Acquiring sleep state data of the target user during sleep;

Determine the current sleep stage of the target user according to the sleep state data and the trained sleep stage prediction model, wherein the sleep stage prediction model is based on the sleep state data of the user and the corresponding sleep stage label Multiple sets of historical sleep state data are obtained by training the public sleep stage prediction model;

According to the current sleep stage, the current body temperature of the target user is determined.

In some implementations, the use of the target user's historical operation data of the air-conditioning equipment to adjust the public comfort perception model includes:

Acquiring multiple sets of historical operation data corresponding to the target user, where each set of historical operation data includes operation data of the target user on the air conditioning equipment and functional parameter information of the air conditioning equipment before and after the operation;

Determine that the functional parameter information before the operation in each set of historical operation data corresponds to the first comfort value in the public comfort perception model, and determine that the functional parameter information after the operation in the set of historical sample data corresponds to the public comfort The second degree of comfort value in the degree perception model;

According to the first comfort value and the second comfort value, the comfort value interval in the public comfort perception model is adjusted to obtain the adjusted comfort value interval, and the adjusted comfort value The degree value interval is determined as the ideal comfort value interval of the target comfort degree perception model.

In some embodiments, controlling the target air conditioning device to operate according to the air parameter adjustment information includes:

Determine the current cover coverage rate of the target user;

Adjusting the air parameter adjustment information according to the coverage rate to obtain adjusted air parameter adjustment information;

Control the target air conditioning equipment to operate according to the adjusted air parameter adjustment information.

Determine the adjustment requirement according to the air parameter adjustment information corresponding to the type and adjustment range of the air parameter that needs to be adjusted;

From among the candidate air-conditioning equipment meeting the adjustment requirements, the target air-conditioning equipment whose energy consumption for adjusting the air parameter type and the adjustment range meets the set conditions is selected as the target air-conditioning equipment.

In a second aspect, an air conditioning device in a sleep environment is provided, the device comprising:

The acquisition module is set to acquire the current air state information of the target user in the sleeping environment;

The first determining module is configured to input the current air state information into a target comfort level perception model to obtain a current comfort level value, wherein the target comfort level perception model uses historical operation data of the air conditioning equipment by the target user Obtained by adjusting the public comfort perception model, and the historical operation data indicates the comfort level of the target user for the air condition;

The second determining module is configured to determine whether the current comfort level value is within the ideal comfort level range of the target user under the target comfort level perception model, wherein the target user feels the ideal comfort level The air state corresponding to the value range feels comfortable;

The third determining module is configured to determine if the current comfort value is outside the ideal comfort value interval, according to the comfort value in the ideal comfort value interval and the target comfort perception model Target air state information suitable for the target user;

The fourth determining module is configured to determine the air parameter adjustment information that needs to be adjusted according to the target air state information;

The adjustment module is set to control the target air conditioning equipment to operate according to the air parameter adjustment information to adjust the air state in the sleep environment.

In some embodiments, the third determining module is configured to:

In some embodiments, the third determining module is further configured to:

Acquiring sleep state data of the target user during sleep;

In some embodiments, the first determining module is further configured to:

In some embodiments, the adjustment module is configured to:

Determine the current cover coverage rate of the target user;

In some embodiments, the adjustment module is configured to:

In a third aspect, an electronic device is provided, and the electronic device includes:

The memory is set to store program instructions;

The processor is configured to call the program instructions stored in the memory, and execute the steps included in any one of the methods in the first aspect according to the obtained program instructions.

In a fourth aspect, a computer-readable storage medium is provided, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are configured to cause a computer to execute the method described in the first aspect. A step of.

In a fifth aspect, a computer program product containing instructions is provided, which when the computer program product runs on a computer, causes the computer to execute the air conditioning method in a sleep environment described in the various possible implementations above. In the embodiments of the present disclosure, the target comfort perception model obtained by adjusting the public comfort perception model is used to evaluate the comfort value of the target user's current sleep environment, if it is found that the current comfort value obtained is not in the target user In the ideal comfort value range under the target comfort perception model, it indicates that the target user is not currently feeling comfortable, and then the comfort value in the ideal comfort value range and the target comfort perception model can be used to determine that it is similar to the target user. According to the adapted target air state information, the air state is adjusted according to the obtained target air state information, so as to meet the user's comfort perception needs in the sleep state as much as possible. And because the air adjustment is performed through the target-specific and unique target comfort perception model, on the basis of achieving differentiated comfort adjustments for users, it can also ensure the accuracy of user comfort perception judgments, thereby improving the sleep environment The state of the air under the environment is accurately and effectively adjusted, so that the state of the air in the sleeping environment can be adapted to the user as much as possible, so that the user can feel as comfortable as possible in the sleeping state.

Description of the drawings

In order to more clearly describe the technical solutions in the embodiments of the present disclosure or related technologies, the following will briefly introduce the drawings needed in the description of the embodiments. Obviously, the drawings in the following description are only some of the present disclosure. Examples.

FIG. 1 is a flowchart of an air conditioning method in a sleep environment provided by an embodiment of the disclosure;

2 is a schematic diagram of the comfort value interval of the public comfort perception model in an embodiment of the disclosure;

3 is a schematic diagram of adjusting the comfort value interval of the public comfort perception model in an embodiment of the disclosure;

4 is a schematic diagram of the comfort value interval of the target comfort perception model in an embodiment of the disclosure;

FIG. 5 is a schematic diagram of a curve of a human body thermal sensation model in an embodiment of the disclosure;

Fig. 6 is a schematic diagram of human body temperature changes during sleep in an embodiment of the disclosure;

FIG. 7 is a schematic diagram of determining the coverage rate of the cover in an embodiment of the disclosure;

FIG. 8 is a schematic diagram of an air conditioning device in a sleep environment in an embodiment of the disclosure;

FIG. 9 is a schematic structural diagram of an electronic device in an embodiment of the disclosure.

detailed description

In order to make the objectives, technical solutions and advantages of the present disclosure clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only These are a part of the embodiments of the present disclosure, but not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present disclosure. In the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other arbitrarily. And, although a logical sequence is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than here.

The terms "first" and "second" in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific sequence. In addition, the term "including" and any variations of them are intended to cover non-exclusive protection. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes unlisted steps or units, or optionally also includes Other steps or units inherent in these processes, methods, products or equipment. The "plurality" in the present disclosure may mean at least two, for example, it may be two, three or more, and the embodiment of the present disclosure does not limit it.

In addition, the term "and/or" in this article is only an association relationship that describes associated objects, which means that there can be three relationships, for example, A and/or B, which can mean: A alone exists, and A and B exist at the same time. There are three cases of B alone. In addition, the character "/" in this text, unless otherwise specified, generally indicates that the associated objects before and after are in an "or" relationship.

The following describes the technical solutions provided by the embodiments of the present disclosure in conjunction with the drawings in the specification.

Please refer to FIG. 1. FIG. 1 provides an air conditioning method in a sleep environment according to an embodiment of the present disclosure. The method can be executed by an electronic device, such as a gateway device, a cloud server, and the like. Multiple smart home devices can communicate with each other. For example, they can communicate with multiple types of air-conditioning devices. The air-conditioning devices include but are not limited to smart air conditioners, smart fans, smart humidifiers, smart dehumidifiers, smart air purifiers, and so on. The flow of the air conditioning method in the sleep environment shown in FIG. 1 will be described below.

Step 101: Acquire current air state information of the target user in the sleeping environment.

The air conditioning method provided by the embodiment of the present disclosure can adjust the air state of any user in the sleeping environment. In the embodiment of the present disclosure, a target user is taken as an example for description. The sleeping environment refers to the environment in which the target user sleeps, such as the bedroom environment at home, or the hotel environment, and so on.

The current air state information is the air state information in the sleep environment at the current moment. The air state information is related description information that can be set to indicate the air state, such as the ambient temperature, the ambient humidity, and the PM2.5 value in the environment. Water vapor pressure, ambient brightness, ambient decibel value (sound), etc.

Step 102: Input the current air state information into the target comfort perception model to obtain the current comfort value, where the target comfort perception model is obtained by adjusting the public comfort perception model by using the historical operation data of the target user on the air-conditioning equipment , The historical operating data indicates the comfort level of the target user for the air condition.

The comfort level of the user’s perception of the current air state can be calculated through the comfort perception model. In the embodiments of the present disclosure, the user’s perceived comfort level of the air state is expressed as a comfort level, and different comfort levels indicate the level of comfort the user perceives. different.

The public comfort perception model in the embodiments of the present disclosure is a model commonly used by public users. Through the public comfort perception model, a relatively wide and universal comfort value range for most users can be calculated, that is to say , The public comfort perception model shows that the general and relatively broad comfort requirements of mass users, but for a specific user, for example, the target user may not be applicable. In other words, the target user may not be suitable when the mass user feels comfortable. Feel comfortable, therefore, the embodiment of the present disclosure optimizes and adjusts the public comfort perception model based on the user’s historical operation data to obtain an independent comfort perception model suitable for the target user, and the target user’s independent and exclusive comfort The perception model is called the target comfort perception model.

For ease of understanding, the following first describes the public comfort perception model, and on this basis, the process of optimizing the comfort perception model to obtain the target comfort perception model is explained.

In related technologies, through a large amount of experimental data, a PMV (Predicted Mean Vote) model of human body comfort is obtained, and its expression is:

PMV=[0.303e ^-0.036M +0.028]{MW-3.05*10 ^-3

[5733-6.99(MW)-p _a ]-0.42[(MW)

-58.15]-1.7*10 ^-5 *M(5867-p _a )-0.00148*

M(34-t _a )-3.96*10 ^-8 fcl[(tcl+273) ⁴ -(

t _a +273) ⁴ ]-fcl*hc*(tcl-t _a )) (Formula 1)

The following explains the meaning of each letter variable in Formula 1, where:

M is the amount of human metabolism;

W is the working power, which specifically refers to the function generated when the user exercises. For example, the working power of the user when lying still can be considered as 0;

Pa is the water vapor pressure, which can be calculated by formula 2. s in formula 2 represents humidity:

Pa=s*610.6*exp(17.260*ta/(237.3+ta)) (Formula 2)

t _a is the ambient temperature;

tcl is the average temperature of the outer surface of the human body, and tcl can be calculated according to the following formula 3:

tcl=35.7-0.028(MW)-Icl{3.96*10 ^-8 *fcl

[(tcl+273) ⁴ -(t _a +273) ⁴ ]+fcl*hc(tcl-t _a )) (Formula 3)

hc is the convective heat transfer coefficient,

v is the air velocity;

fcl is the ratio of the surface area of the clothed human body to the naked body, calculated according to the following formula 4:

Icl represents the thermal resistance of clothing.

The PMV model represented by the above formula 1 is an empirical formula obtained from experiments, but it is only applicable to the PMV calculation of the human body in a comfortable state during the day. The PMV value in [-0.5,0.5] indicates that it is in a comfortable state. During sleep at night, Because the human metabolic rate M, thermal resistance Icl and other parameters are different from those during daytime activities, it is necessary to reduce and adjust these parameters.

The following describes the parameter adjustment and model reduction processing of the PMV model represented by Formula 1.

(1) Metabolic rate M. Relevant literature points out that the metabolic rate M=50W/m ² in a sitting state, about 46W/m ² when lying down, and about 40W/m ² when sleeping, In this disclosure, the model is for sleep, so the metabolic rate is 46W/m ² and 40W/m ² .

(2) Clothing thermal resistance Icl. Related documents stipulate the corresponding thermal resistance query table for different clothing thermal resistances, but there is no corresponding thermal resistance value for sleeping bedding, mattresses, pillows and other items. Differences, bedding thickness and other factors have a great influence on thermal resistance, so the thermal resistance look-up table is no longer applicable. According to the relevant literature and combined with the actual situation, the total thermal resistance of bedding is 2.5clo (measurement unit of thermal resistance) in winter, 1.5clo in summer, and 1.8clo in spring and autumn.

(3) According to the related sleep literature, the model is reduced, and the reduced comfort equations about temperature, humidity, wind speed, thermal resistance, and metabolic rate are obtained:

The calculated PMV value range is [-3,3], when it is in [-0.5,0.5], it is in a comfortable state, [-3,-0.5] is in a cold and uncomfortable state, and [0.5,3] is in a thermally uncomfortable state ,as shown in picture 2.

The PMV model represented by formula 5 above can be understood as the aforementioned public comfort perception model. As mentioned above, on the basis of the public comfort perception model, the embodiments of the present disclosure adopt an artificial intelligence processing method through machine learning. Optimize and adjust the public comfort perception model by using the user’s historical operation data of the temperature adjustment device to self-learn the comfort level for the target user, thereby obtaining the target public comfort perception model exclusive to the target user. The historical operating data of the adjustment device can indicate the comfort level of the target user for the air condition, so the obtained target public comfort perception model can more accurately reflect the target user’s personal comfort perception needs, so as to realize the difference between different users. Differentiated needs for comfort perception.

Specifically, multiple sets of historical operation data corresponding to the target user can be obtained, where each set of historical operation data includes the target user's operation data on the air-conditioning equipment and information on the function parameters of the air-conditioning equipment before and after the operation. Further, it can be determined that the functional parameter information before the operation in each set of historical operation data corresponds to the first comfort value in the public comfort perception model, and it can be determined that the functional parameter information after the operation in the set of historical sample data corresponds to the public comfort The second comfort value in the degree perception model, and finally according to the first comfort value and the second comfort value, the comfort value interval in the public comfort perception model is adjusted to obtain the adjusted comfort value interval , And determine the adjusted comfort value interval as the ideal comfort value interval of the target comfort perception model to obtain the target comfort perception model.

For example, the PMV value obtained in formula 5 is expressed as a comfortable state in the range of [-0.5,0.5], but this is not suitable for everyone (for example, at 24℃, some people feel cold, some people feel comfortable, then the same The PMV value obtained under temperature should not be the same), so the PMV value needs to be dynamically adjusted for different users (for example, for target users). For specific adjustment methods, see the following description.

First, by collecting historical operation data of the target user, when the target user changes or adjusts the temperature of the air conditioner, it indicates that he is not satisfied with the current environment and feels cold or hot. Collect the indoor temperature before the user operates the air conditioner. If it is increased, it indicates It is cold at the current temperature. If it decreases, it means it is hot at the current temperature. If it is not adjusted for a long time, it is satisfactory. According to the temperature before adjustment, calculate the PMV collected data corresponding to the temperature according to the above formula 5 and sort it out. Part of the data is shown in Table 1:

Table 1

调整温度前PMV值PMV value before adjusting temperature	冷热感觉Hot and cold sensation
-0.8-0.8	冷cold
-0.7-0.7	舒适Comfortable
-0.6-0.6	舒适Comfortable
0.50.5	热hot

Secondly, according to the acquired historical user data, adjust the interval corresponding to the comfortable state of the target user. The adjustment methods and rules are as follows:

First define the comfort zone as shown in Figure 3.

(1) In the initial state, the range of PMV value A is [-0.5,0.5]. Start reading from the first piece of data. If the sensory tag corresponding to the PMV value read is "comfortable" and the PMV value is within A, then No adjustment

(2) If the read PMV value is within the range A1, and the corresponding label is "cold", the range is not adjusted;

(3) If the read PMV value is within the range A2 and the corresponding label is "hot", the range is not adjusted;

(4) If the read PMV value is within the range of A1, but the corresponding label is "comfort", then the value of x2 should be adjusted to the left, and the value of x2 should be adjusted to the read PMV value;

(5) Similarly, if the read PMV is in interval A, but the corresponding label is "cold", then the value of x2 should be adjusted to the right, and the value of x2 should be adjusted to the read PMV value;

(6) If the read PMV is in interval A, but the corresponding label is "hot", then the value of x3 should be adjusted to the left, and the value of x3 should be adjusted to the read PMV value;

(7) If the read PMV is within the range of A2, but the corresponding label is "comfort", then the value of x3 should be adjusted to the right, and the value of x3 should be adjusted to the read PMV value.

According to the above-mentioned multiple adjustment rules, according to the large amount of historical operation data of the target user, and adjusted according to the rules, you can finally learn the PMV range of the target user in a comfortable state, that is, learn the independent and exclusive comfort range of the target user. In this way, an independent and exclusive target comfort perception model for the target user is obtained. For example, learning the comfort range of the target user is shown in Figure 4. It can be seen that [-0.9,0.3] is the ideal comfort range of the target user. Compared to the general comfort range of [-0.5,0.5], it can be considered The target user prefers a cooler air condition, that is to say, the target user feels more comfortable when compared to when the public feels cold.

In some implementations, after the target user's independent and exclusive target comfort perception model is obtained, for example, as shown in formula 3, formula 3 is a calculation formula for related variables such as temperature, water vapor pressure, and humidity. Therefore, the current air The state information is input into the target comfort perception model for calculation, and the calculated comfort value is used as the current comfort value of the target user.

Step 103: Determine whether the current comfort value is within the ideal comfort value range of the target user under the target comfort perception model, where the target user feels comfortable with the air state corresponding to the ideal comfort value range.

Step 104: If the current comfort value is outside the ideal comfort value range, determine the target air state information suitable for the target user according to the comfort value in the ideal comfort value range and the target comfort perception model.

If the current comfort value of the target user is outside the ideal comfort value range, it means that the target user may not feel comfortable currently, such as being in the "cold discomfort" range and feeling cold, or in the "hot discomfort" range and It feels hotter. To this end, you can select a comfort value that can make the target user feel "comfortable" and input it into the target comfort perception model to reversely calculate the air state information corresponding to the comfort value, for example, the calculated air state The information is called target air state information. For example, the target air state information is: temperature 23°C, humidity 60%, and so on.

Once the metabolic rate and thermal resistance of the PMV model are determined, it is only a model of natural conditions such as ambient temperature, humidity, and wind speed, and cannot reflect changes caused by human physiological changes. Therefore, it is necessary for the device to actively "perceive" heat and cold. Therefore, in the embodiments of the present disclosure, the target air state information can also be determined in combination with the user’s real-time human body temperature's true perception of cold and heat. In this way, the actual physiological changes on the user side can be taken into account to improve the determination of the target air state information. accuracy.

First, the human body thermal sensory model can be established based on the physiological changes of the human body. The specific modeling process is as follows:

Human body temperature is an important indicator that reflects the human body's hot and cold feelings. The higher the ambient temperature, the higher the human body temperature and the warmer it feels. Considering that the value range of PMV is [-3,3], the value range corresponding to the thermal sensation model should also be [-3,3], and the human body temperature difference theoretically changes within [-∞,+∞], Therefore, the following thermal sensation model can be established:

Among them, T is the user's current body temperature; Tc is the user's body temperature in a comfortable state, for example, the Tc in a sleep state is 34.6°C; α is a temperature sensitivity factor, which indicates the sensitivity of the body temperature to environmental temperature changes.

Referring to the schematic diagram of the curve corresponding to the human thermal sensation model shown in Figure 5, it can be seen from the model that the model is a tan function. When the human body temperature is in the most comfortable state, the thermal sensation value feeling is 0, and when the body temperature is low In a comfortable state, calculate the thermal sensation value feeling<0. When the body temperature is higher than the comfortable temperature, the thermal sensation value feeling>0, and when the temperature is higher than a certain value, the thermal sensation reaches the limit and the trend is slow. This model can be very It reflects the change of human body's thermal sensation with body temperature, which is consistent with the actual situation.

In the embodiments of the present disclosure, according to the multiple comfort values included in the ideal comfort value interval and the target comfort perception model, multiple candidate air state information corresponding to the multiple comfort values can be determined, and then according to the current human body of the target user Body temperature and human body thermal sensation model, determine multiple thermal sensation values corresponding to multiple candidate air state information, and finally determine the air state information corresponding to the optimal thermal sensation value among the multiple thermal sensation values as target air state information, where , The target user has the highest temperature perception comfort at the optimal thermal sensation value, that is, the optimal thermal sensation value is the thermal sensation value at which the target user feels the most comfortable feeling of hot and cold.

Assuming that the target comfort perception model of the target user and the human thermal perception model are combined at the same time, the second sleep comfort model can be expressed by the following formula 7:

SleepComfort=α·PMV+β·feeling (Formula 7)

For the target user, PMV in Equation 7 represents the target user's independent and exclusive target comfort perception model, feeling can be understood as the aforementioned human body thermal sensory model, α and β represent weighting coefficients, and the sum of α and β is 1.

Then according to formula 7, when SleepComfort→0, the user is closer to being comfortable. According to the user's sleep stage, the corresponding body temperature can be obtained, and the feeling value can be calculated according to formula 6, then the solution of formula 7 is transformed into the search of SleepComfort→0 The optimal model seeks the most suitable PMV value related to the ambient temperature, humidity, and wind speed, which is the environmental condition under the most comfortable state of the current user.

In this way, not only the comfort model that can describe the sleeping environment is considered, but also the human thermal perception model that can describe the user's own (mainly human body temperature) real perception of the sleeping environment is considered, and the target air state information obtained in this way is more accurate.

In the above process of using the human body thermal sensory model, the current human body temperature of the target user needs to be obtained. One possible implementation method is to detect the current human body temperature of the target user in real time through a sensor worn by the target user. Another possible implementation method The sleep stage prediction model is used to predict the current sleep stage of the target user, and then the current body temperature of the target user is predicted based on the change law of the human body temperature in each sleep stage in the empirical knowledge.

Among them, for the way to obtain the current human body temperature of the target user through the sleep stage prediction model, the sleep stage prediction model is based on the sleep state data of the target user and the corresponding multiple sets of historical sleep state data marked with sleep stage tags. The sleep stage prediction model is trained, so that the sleep stage prediction model trained based on the target user’s own data can accurately predict the sleep stage of the user according to the user’s real sleep situation. In this way, you can first obtain the sleep state data of the target user during sleep, and then determine the target user's current sleep stage according to the sleep state data and the trained sleep stage prediction model, and then determine the target user's current sleep stage according to the current sleep stage Human body temperature.

Human body temperature is constantly changing during sleep. Some literature shows that body temperature changes are related to the sleep stage. Therefore, to grasp the law of body temperature changes, you need to be able to accurately judge the sleep stage and combine expert knowledge. Corresponding body temperature changes can be calculated. Sleep stage prediction is mainly based on sleep data for training. Sleep data includes real-time heart rate, respiration, body movement and the corresponding sleep stage label at the moment. The data comes from data collected by a brand of mattress , The specific forecasting method is as follows:

(1) Model training. The heart rate, breathing rate, and body movement data (such as body rotation, head rotation, eye movement) are normalized as the feature input, and the sleep stage label is the output. For example, the SVM algorithm can be used to train the model.

(2) Sleep stage prediction: Input the acquired real-time sleep state data (heart rate, respiration, body movement, eye movement) into the trained sleep stage model to obtain the corresponding sleep stage.

The body temperature changes during sleep have a certain rhythm: from the beginning of sleep to the first light sleep stage (about 1 hour), the body temperature is in a rising state, and then the body temperature begins to fall, until the second rapid eye movement stage begins, the body temperature It is at a low level and fluctuates slightly with the sleep stage, as shown in Figure 6 (where 0 means awake state, 1 means light sleep stage, 2 means deep sleep stage, and 3 means rapid eye movement stage. Then predict according to sleep stage , Respectively find out the two time points from being awake to entering light sleep for the first time and reaching the rapid eye movement phase for the second time (shown by "*" in Figure 6). Based on expert knowledge, suppose the skin temperature at the three time points The changes are [a1, a2, a3]. At the same time, the three stages respectively cover multiple sleep stages. According to expert knowledge, because different sleep periods have different sleep requirements, the skin temperature will fluctuate slightly, as shown in Figure 6. Shown by the dotted line.

Step 105: According to the target air state information, determine the corresponding air parameter adjustment information that needs to be adjusted.

As mentioned earlier, the target air status information is temperature 23℃, humidity 60%, etc. Assuming that the current ambient temperature is 27℃ and humidity is 80%, then the corresponding air parameter types that need to be adjusted are temperature and humidity, and temperature The adjustment range is "4°C lower" and the humidity adjustment range is "20% lower", then the determined type of air parameter to be adjusted and the corresponding adjustment range can be understood as air parameter adjustment information.

Step 106: Control the target air conditioning device to operate according to the air parameter adjustment information to adjust the air state in the sleeping environment.

As mentioned above, the air parameter adjustment information can indicate the type of air parameter that needs to be adjusted and the corresponding adjustment range. Based on this, the adjustment demand for this air conditioning can be determined, and then from the candidate air conditioning equipment that meets the adjustment demand, Select the target air-conditioning equipment whose energy consumption to adjust the aforementioned air parameter types and adjustment ranges meets the set conditions, and then use the target air-conditioning equipment to perform air conditioning, that is, on the premise of meeting the regulation requirements, priority can be given Choose the air conditioning equipment with the lowest or relatively low power consumption for air conditioning, so as to minimize the power consumption of air conditioning.

In one embodiment, after the air parameter adjustment information that needs to be adjusted is determined, the current cover coverage rate of the target user may be determined, and the aforementioned determined air parameter adjustment information may be performed according to the cover coverage rate. Adjust to obtain adjusted air parameter adjustment information, and control the target air-conditioning device to operate according to the adjusted air parameter adjustment information.

Users, especially children, are easy to kick the quilt when sleeping. For example, according to the pressure sensor in the mattress, it can detect the real-time quilt area and cover coverage rate of the user while sleeping, and adjust the air parameters that need to be adjusted according to the size of the cover coverage rate. The information is adjusted to a certain extent. For example, when the normal cover coverage rate is 80%, and the detected cover coverage rate is 50% to 60%, the air conditioner temperature should be increased by 1°C on the basis of the original adjustment, which can avoid The user has a cold due to the low coverage rate of the cover. In a possible implementation manner, the method for detecting and estimating the coverage rate of the cover is shown in Figure 7. In Figure 7, S1 represents the user's body area and S2 represents the area of the cover. Then the cover can be calculated by formula 8. Covered rate:

In the embodiments of the present disclosure, the target comfort perception model obtained by adjusting the public comfort perception model is used to evaluate the comfort value of the target user's current sleep environment, if it is found that the current comfort value obtained is not in the target user In the ideal comfort value range under the target comfort perception model, it indicates that the target user is not currently feeling comfortable, and then the comfort value in the ideal comfort value range and the target comfort perception model can be used to determine that it is similar to the target user. According to the adapted target air state information, the air state is adjusted according to the obtained target air state information, so as to meet the user's comfort perception needs in the sleep state as much as possible. And because the air adjustment is performed through the target-specific and unique target comfort perception model, on the basis of achieving differentiated comfort adjustments for users, it can also ensure the accuracy of user comfort perception judgments, thereby improving the sleep environment The state of the air under the environment is accurately and effectively adjusted, so that the state of the air in the sleeping environment can be adapted to the user as much as possible, so that the user can feel as comfortable as possible in the sleeping state.

Based on the same inventive concept, the embodiments of the present disclosure provide an air conditioning device in a sleeping environment. The air conditioning device in the sleeping environment may be a hardware structure, a software module, or a hardware structure plus a software module. As shown in FIG. 8, the air conditioning device in a sleep environment in the embodiment of the present disclosure includes an acquisition module 801, a first determination module 802, a second determination module 803, a third determination module 804, a fourth determination module 805, and an adjustment module. Module 806, where:

The obtaining module 801 is configured to obtain the current air state information of the target user in the sleeping environment;

The first determining module 802 is configured to input the current air state information into a target comfort level perception model to obtain a current comfort level value, wherein the target comfort level perception model utilizes the historical operation of the air-conditioning equipment by the target user The data is obtained by adjusting the public comfort perception model, and the historical operation data indicates the comfort level of the target user for the air condition;

The second determining module 803 is configured to determine whether the current comfort value is within an ideal comfort value interval of the target user under the target comfort perception model, wherein the target user is comfortable with the ideal comfort value. The air state corresponding to the degree value range feels comfortable;

The third determining module 804 is configured to determine a target suitable for the target user according to the comfort value in the ideal comfort value range and the target comfort perception model if the current comfort value is outside the ideal comfort value range Air status information;

The fourth determining module 805 is configured to determine the air parameter adjustment information that needs to be adjusted according to the target air state information;

The adjustment module 806 is set to control the target air conditioning equipment to operate according to the air parameter adjustment information, so as to adjust the air state in the sleep environment.

In a possible implementation manner, the third determining module 804 is configured to:

According to the multiple comfort values included in the ideal comfort value interval and the target comfort perception model, determine multiple candidate air state information corresponding to the multiple comfort values;

According to the target user’s current human body temperature and human body thermal sensation model, determine multiple thermal sensation values corresponding to multiple candidate air state information, where the human thermal sensation model is the same as the user’s current human body temperature and the human body temperature in a comfortable state Temperature sensitive factor related;

The air state information corresponding to the optimal thermal sensation value among the multiple thermal sensation values is determined as the target air state information, where the target user has the highest temperature perception comfort at the optimal thermal sensation value.

In a possible implementation manner, the third determining module 804 is further configured to:

Obtain the sleep state data of the target user during sleep;

According to the sleep state data and the trained sleep stage prediction model, the current sleep stage of the target user is determined. The sleep stage prediction model is based on the user’s sleep state data and corresponding sets of historical sleep state data marked with sleep stage tags. The sleep stage prediction model is trained;

In a possible implementation manner, the first determining module 802 is further configured to:

Acquire multiple sets of historical operation data corresponding to the target user, where each set of historical operation data includes the target user's operation data on the air-conditioning equipment and functional parameter information of the air-conditioning equipment before and after the operation;

Determine that the functional parameter information before operation in each set of historical operation data corresponds to the first comfort value in the public comfort perception model, and determine that the functional parameter information after operation in the set of historical sample data corresponds to the public comfort perception model Second comfort value;

According to the first comfort value and the second comfort value, adjust the comfort value interval in the public comfort perception model to obtain the adjusted comfort value interval, and determine the adjusted comfort value interval as the target The ideal comfort value range of the comfort perception model.

In a possible implementation manner, the adjustment module 806 is configured as:

Determine the current cover coverage rate of the target user;

Adjust the air parameter adjustment information according to the coverage rate, and obtain the adjusted air parameter adjustment information;

The control target air conditioning equipment operates according to the adjusted air parameter adjustment information.

According to the air parameter adjustment information corresponding to the type and adjustment range of the air parameter that needs to be adjusted, the adjustment demand is determined;

From the candidate air-conditioning equipment that meets the adjustment requirements, select the air-conditioning equipment whose type of air-conditioning parameters and the energy consumption of the adjustment range meet the set conditions as the target air-conditioning equipment.

All relevant content of the steps involved in the foregoing embodiment of the air conditioning method in a sleep environment can be cited in the functional description of the functional module corresponding to the device for detecting network quality in the embodiment of the present disclosure, and will not be repeated here. .

The division of modules in the embodiments of the present disclosure is illustrative, and is only a logical function division. In actual implementation, there may be other division methods. In addition, the functional modules in the various embodiments of the present disclosure may be integrated into one process. In the device, it can also exist alone physically, or two or more modules can be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or software function modules.

Based on the same concept as the above embodiments of the present disclosure, the embodiments of the present disclosure also provide an electronic device, such as a gateway device or a cloud server, which can execute the aforementioned air conditioning method in a sleep environment. As shown in FIG. 9, the electronic device in the embodiment of the present disclosure includes at least one processor 901, and a memory 902 and a communication interface 903 connected to the at least one processor 901. The embodiment of the present disclosure does not limit the processor 901 and the memory 902. The specific connection medium between the processor 901 and the memory 902 is connected through the bus 900 as an example in FIG. 9. The bus 900 is represented by a thick line in FIG. 9. The connection mode between other components is only for illustration Sexual description is not limited. The bus 900 can be divided into an address bus, a data bus, a control bus, etc. For ease of presentation, only a thick line is shown in FIG. 9, but it does not mean that there is only one bus or one type of bus.

In the embodiment of the present disclosure, the memory 902 stores instructions that can be executed by at least one processor 901, and the at least one processor 901 can execute the steps included in the aforementioned method for recommending multimedia content by executing the instructions stored in the memory 902.

Among them, the processor 901 is the control center of the electronic device, which can use various interfaces and lines to connect the various parts of the entire electronic device. By running or executing the instructions stored in the memory 902 and calling the data stored in the memory 902, the electronic device The various functions and processing data of the electronic equipment can be used to monitor the electronic equipment as a whole. In some embodiments, the processor 901 may include one or more processing units, and the processor 901 may integrate an application processor and a modem processor, where the processor 901 mainly processes an operating system, a user interface, and application programs, etc. The modem processor mainly deals with wireless communication. It can be understood that the foregoing modem processor may not be integrated into the processor 901. In some embodiments, the processor 901 and the memory 902 may be implemented on the same chip, and in some embodiments, they may also be implemented on separate chips.

The processor 901 may be a general-purpose processor, such as a central processing unit (CPU), a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, Implement or execute the methods, steps, and logical block diagrams disclosed in the embodiments of the present disclosure. The general-purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in combination with the embodiments of the present disclosure may be directly embodied as executed and completed by a hardware processor, or executed and completed by a combination of hardware and software modules in the processor.

The memory 902, as a non-volatile computer-readable storage medium, can be configured to store non-volatile software programs, non-volatile computer-executable programs, and modules. The memory 902 may include at least one type of storage medium, for example, may include flash memory, hard disk, multimedia card, card-type memory, random access memory (Random Access Memory, RAM), static random access memory (Static Random Access Memory, SRAM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), magnetic memory, disk , CD, etc. The memory 902 is any other medium that can be configured to carry or store desired program codes in the form of instructions or data structures and that can be accessed by a computer, but is not limited thereto. The memory 902 in the embodiment of the present disclosure may also be a circuit or any other device capable of realizing a storage function, and is configured to store program instructions and/or data.

The communication interface 903 is a transmission interface that can be set to perform communication. For example, the communication interface 903 can receive data or send data.

Continuing to refer to FIG. 9, the electronic device also includes a basic input/output system (I/O system) 904 that helps to transfer information between various devices in the electronic device, and is set to store an operating system 905, application programs 906, and other program modules 907 mass storage device 908.

The basic input/output system 904 includes a display 909 configured to display information and an input device 910 configured to input information by a user, such as a mouse and a keyboard. The display 909 and the input device 910 are both connected to the processor 901 through the basic input/output system 904 connected to the system bus 900. The basic input/output system 904 may also include an input and output controller configured to receive and process input from multiple other devices such as a keyboard, a mouse, or an electronic stylus. Similarly, the I/O controller also provides output to a display screen, printer, or other type of output device.

The mass storage device 908 is connected to the processor 901 through a mass storage controller (not shown) connected to the system bus 900. The mass storage device 908 and its associated computer readable medium provide non-volatile storage for the server package. That is, the mass storage device 908 may include a computer-readable medium (not shown) such as a hard disk or a CD-ROM drive.

According to various embodiments of the present disclosure, the electronic device package can also be operated by a remote computer connected to the network through a network such as the Internet. That is, the electronic device can be connected to the network 911 through the communication interface 903 connected to the system bus 900, or in other words, the communication interface 903 can also be used to connect to other types of networks or remote computer systems (not shown).

Based on the same inventive concept, embodiments of the present disclosure also provide a storage medium that stores computer instructions, and when the computer instructions run on a computer, the computer executes the steps of the aforementioned air conditioning method in a sleep environment.

In some possible implementation manners, various aspects of the air conditioning method in a sleep environment provided by the present disclosure can also be implemented in the form of a program product, which includes program code. When the program product runs on an electronic device, the program code It is configured to cause the electronic device to execute the steps in the air conditioning method in a sleep environment according to various exemplary embodiments of the present disclosure described above in this specification.

Those skilled in the art should understand that the embodiments of the present disclosure can be provided as a method, a system, or a computer program product. Therefore, the present disclosure may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

The present disclosure is described with reference to flowcharts and/or block diagrams of methods, devices (systems), and computer program products according to the present disclosure. It should be understood that each process and/or block in the flowchart and/or block diagram, and the combination of processes and/or blocks in the flowchart and/or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing equipment to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing equipment are generated by the processor of the computer or other programmable data processing equipment. A device configured to implement the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.

These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing equipment to work in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction device. The device implements the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.

These computer program instructions can also be loaded on a computer or other programmable data processing equipment, so that a series of operation steps are executed on the computer or other programmable equipment to produce computer-implemented processing, so as to execute on the computer or other programmable equipment. The instructions provide steps that are set to implement functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.

Obviously, those skilled in the art can make various changes and modifications to the present disclosure without departing from the spirit and scope of the present disclosure. In this way, if these modifications and variations of the present disclosure fall within the scope of the claims of the present disclosure and equivalent technologies, the present disclosure also intends to include these modifications and variations.

Claims

An air conditioning method in a sleeping environment, the method comprising:

Obtain the current air state information of the target user in the sleeping environment;

Input the current air state information into the target comfort perception model to obtain the current comfort value, where the target comfort perception model uses the historical operation data of the air conditioning equipment of the target user to adjust the public comfort perception model Obtained, the historical operation data indicates the comfort level of the target user for the air condition;

Determine whether the current comfort value is within the ideal comfort value interval of the target user under the target comfort perception model, wherein the target user feels comfortable with the air state corresponding to the ideal comfort value interval ；

If the current comfort value is outside the ideal comfort value interval, then according to the comfort value in the ideal comfort value interval and the target comfort perception model, determine the one that is suitable for the target user Target air status information;

According to the target air state information, determine the corresponding air parameter adjustment information that needs to be adjusted;

The control target air conditioning device operates according to the air parameter adjustment information to adjust the air state in the sleep environment.
The method of claim 1, wherein determining the target air state information suitable for the target user according to the comfort value in the ideal comfort value interval and the target comfort perception model comprises:

Determine, according to the multiple comfort values included in the ideal comfort value interval and the target comfort perception model, multiple candidate air state information corresponding to the multiple comfort values;

According to the target user’s current human body temperature and human body thermal sensation model, multiple thermal sensation values corresponding to the multiple candidate air state information are determined, wherein the human thermal sensation model matches the user’s current human body temperature and is comfortable Human body temperature in the state is related to temperature sensitive factors;

The air state information corresponding to the optimal thermal sensation value among the plurality of thermal sensation values is determined as the target air state information, wherein the comfort level of the target user's temperature perception at the optimal thermal sensation value Highest.
The method of claim 2, wherein the method further comprises:

Acquiring sleep state data of the target user during sleep;

Determine the current sleep stage of the target user according to the sleep state data and the trained sleep stage prediction model, wherein the sleep stage prediction model is based on the sleep state data of the user and the corresponding sleep stage label Multiple sets of historical sleep state data are obtained by training the public sleep stage prediction model;

According to the current sleep stage, the current body temperature of the target user is determined.
The method according to claim 1, wherein the adjustment of the public comfort perception model using the historical operation data of the air-conditioning equipment by the target user comprises:

Acquiring multiple sets of historical operation data corresponding to the target user, where each set of historical operation data includes the target user's operation data on the air-conditioning equipment and functional parameter information of the air-conditioning equipment before and after the operation;

Determine that the functional parameter information before the operation in each set of historical operation data corresponds to the first comfort value in the public comfort perception model, and determine that the functional parameter information after the operation in the set of historical sample data corresponds to the public comfort The second degree of comfort value in the degree perception model;

According to the first comfort value and the second comfort value, the comfort value interval in the public comfort perception model is adjusted to obtain the adjusted comfort value interval, and the adjusted comfort value interval The degree value interval is determined as the ideal comfort value interval of the target comfort degree perception model.
The method according to any one of claims 1 to 4, wherein controlling the target air conditioning equipment to operate according to the air parameter adjustment information comprises:

Determine the current cover coverage rate of the target user;

Adjusting the air parameter adjustment information according to the coverage rate of the cover to obtain adjusted air parameter adjustment information;

Control the target air conditioning equipment to operate according to the adjusted air parameter adjustment information.
The method according to any one of claims 1 to 4, wherein controlling the target air conditioning equipment to operate according to the air parameter adjustment information comprises:

Determine the adjustment requirement according to the air parameter adjustment information corresponding to the type and adjustment range of the air parameter that needs to be adjusted;

From among the candidate air-conditioning devices that meet the adjustment requirements, the target air-conditioning device whose energy consumption for adjusting the air parameter type and adjustment range meets the set conditions is selected as the target air-conditioning device.
An air conditioning device in a sleeping environment, the device comprising:

The acquisition module is set to acquire the current air state information of the target user in the sleeping environment;

The first determining module is configured to input the current air state information into a target comfort level perception model to obtain a current comfort level value, wherein the target comfort level perception model uses historical operation data of the air conditioning equipment by the target user Obtained by adjusting the public comfort perception model, and the historical operation data indicates the comfort level of the target user for the air condition;

The second determining module is configured to determine whether the current comfort level value is within the ideal comfort level range of the target user under the target comfort level perception model, wherein the target user feels the ideal comfort level The air state corresponding to the value range feels comfortable;

The third determining module is configured to determine if the current comfort value is outside the ideal comfort value interval, according to the comfort value in the ideal comfort value interval and the target comfort perception model Target air state information suitable for the target user;

The fourth determining module is configured to determine the air parameter adjustment information that needs to be adjusted according to the target air state information;

The adjustment module is set to control the target air conditioning equipment to operate according to the air parameter adjustment information to adjust the air state in the sleep environment.
8. The device of claim 7, wherein the third determining module is configured to:

Determine, according to the multiple comfort values included in the ideal comfort value interval and the target comfort perception model, multiple candidate air state information corresponding to the multiple comfort values;

According to the current human body temperature and human body thermal sensation model of the target user, multiple thermal sensation values corresponding to the multiple candidate air state information are determined. Human body temperature in the state is related to temperature sensitive factors;

The air state information corresponding to the optimal thermal sensation value among the plurality of thermal sensation values is determined as the target air state information, wherein the comfort level of the target user's temperature perception at the optimal thermal sensation value Highest.
An electronic device, the electronic device comprising:

The memory is set to store program instructions;

The processor is configured to call the program instructions stored in the memory, and execute the steps included in the method according to any one of claims 1-6 according to the obtained program instructions.
A storage medium storing computer-executable instructions, and the computer-executable instructions are configured to cause a computer to execute the steps included in the method of any one of claims 1-6.